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Search results for: spatial data model
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WRF-METEOPG: numerical weather forecast data for Poland - Days 183-189, Year 2021
Open Research DataWRF-METEOPG is a numerical weather forecast system developed at the Faculty of Civil and Environmental Engineering, Gdansk University of Technology, Poland. The system was built on the basis of the Weather Research and Forecast model version 4.2 and implemented at Centre of Informatics Tricity Academic Supercomputer & Network. Physics parametrization...
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WRF-METEOPG: numerical weather forecast data for Poland - Days 176-182, Year 2021
Open Research DataWRF-METEOPG is a numerical weather forecast system developed at the Faculty of Civil and Environmental Engineering, Gdansk University of Technology, Poland. The system was built on the basis of the Weather Research and Forecast model version 4.2 and implemented at Centre of Informatics Tricity Academic Supercomputer & Network. Physics parametrization...
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Measurement of the temporal and spatial temperature distribution on the surface of PVCP tissue phantom illuminated by laser.
Open Research DataApplication of laboratory set-up for characterisation of thermal properties of optical tissue phantoms during laser irradiation is presented. The produced system utilizes thermographic camera VIGOcam v50 and dermatological laser system with a 975 nm diode laser module. The set-up was used to perform measurements of the temporal and spatial temperature...
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Hydrodynamic reanalysis of sea level in the Baltic Sea using the PM3D model
Open Research DataThe data set contains the results of numerical modelling of sea level fluctuations in the Baltic Sea in the Baltic Sea since 1998. A long-term reanalysis was performed using a three-dimensional hydrodynamic model PM3D (Kowalewski and Kowalewska-Kalkowska, 2017), a new version of the M3D model (Kowalewski, 1997).
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Long-term hindcast simulation of sea ice in the Baltic Sea
Open Research DataThe data set contains the results of numerical modeling of sea ice over a period of 50 years (1958-2007) in the Baltic Sea. A long-term hindcast simulation was performed using a three-dimensional hydrodynamic model PM3D (Kowalewski and Kowalewska-Kalkowska, 2017), a new version of the M3D model (Kowalewski, 1997). A numerical dynamic-thermodynamic model...
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Monthly mean sea surface temperature (SST) of the Baltic Sea
Open Research DataMonthly mean sea surface temperature (SST) from 2001 to 2022 calculated from data from the SatBaltic System (https://satbaltyk.iopan.gda.pl/). The spatial resolution of the maps is 1 km. The calculation of monthly mean values at each pixel was based on four SST maps on each day of the month. The primary source of SST information was satellite data collected...
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Long-term hindcast simulation of currents in the Baltic Sea
Open Research DataThe dataset contains the results of numerical modelling of currents over a period of 50 years (1958-2007) in the Baltic Sea . A long-term hindcast simulation was performed using a three-dimensional hydrodynamic model PM3D (Kowalewski and Kowalewska-Kalkowska, 2017), a new version of the M3D model (Kowalewski, 1997). The hydrodynamic model was coupled...
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Hydrodynamic reanalysis of ice conditions in the Baltic Sea using the PM3D model
Open Research DataThe dataset contains the results of numerical modeling of sea ice in the Baltic Sea since 1998. A long-term reanalysis was performed using the three-dimensional hydrodynamic model PM3D (Kowalewski and Kowalewska-Kalkowska, 2017), a new version of the M3D model (Kowalewski, 1997). A numerical dynamic-thermodynamic model of sea ice (Herman et al. 2011)...
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Hydrodynamic reanalysis of water temperature and salinity in the Baltic Sea using the PM3D model
Open Research DataThe dataset contains the results of numerical modeling of water temperature and salinity in the Baltic Sea since 1998. A long-term reanalysis was performed using the three-dimensional hydrodynamic model PM3D (Kowalewski and Kowalewska-Kalkowska, 2017), a new version of the M3D model (Kowalewski, 1997). A numerical dynamic-thermodynamic model of sea...
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Hydrodynamic reanalysis of currents in the Baltic Sea using the PM3D model
Open Research DataThe dataset contains the results of numerical modeling of currents in the Baltic Sea since 1998. A long-term reanalysis was performed using a three-dimensional hydrodynamic model PM3D (Kowalewski and Kowalewska-Kalkowska, 2017), a new version of the M3D model (Kowalewski, 1997).
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Long-term hindcast simulation of sea level in the Baltic Sea
Open Research DataThe dataset contains the results of numerical modelling of sea level fluctuations over a period of 50 years (1958-2007) in the Baltic Sea. A long-term hindcast simulation was performed using a three-dimensional hydrodynamic model PM3D (Kowalewski and Kowalewska-Kalkowska, 2017), a new version of the M3D model (Kowalewski, 1997). The hydrodynamic model...
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Areas of updraft air motion from WRF model simulations.
Open Research DataPresented dataset is a part of numerical modelling study focusing on the analysis of sea ice floes size distribution (FSD) influence on the horizontal and vertical structure of convection in the atmosphere. The total area and spatial arrangement of the updrafts indicates that the FSD affects the total moisture content and the values of area averaged...
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Long-term hindcast simulation of water temperature and salinity in the Baltic Sea
Open Research DataThe dataset contains the results of numerical modelling of water temperature and salinity over a period of 50 years (1958-2007) in the Baltic Sea. A long-term hindcast simulation was performed using a three-dimensional hydrodynamic model PM3D (Kowalewski and Kowalewska-Kalkowska, 2017), a new version of the M3D model (Kowalewski, 1997). The hydrodynamic...
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Analysis of spatial changes in the town of Puck with its surroundings in the years 1926, 1940, 1974, 1985, 2000, 2020 on the basis of topographic maps using the BDOT10K database
Open Research DataSpatial changes over time are extremely valuable due to the possibility of modeling forecasts. This dataset shows how Puck has evolved over a specific period of time. Thanks to this presentation of the data set, it is possible to easily recreate the appearance of the city in particular years.
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The generalization by simplification operator with Sester’s method of objects representing groups of buildings in Gdańsk district - scale 1:10000. Data from OSM
Open Research DataThe process of automatic generalization is one of the elements of spatial data preparation for the purpose of creating digital cartographic studies. The presented data include a part of the process of generalization of building groups obtained from the Open Street Map databases (OSM) [1].
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The aggregation of objects representing Gdańsk district buildings - scale 1:10000. Data from OSM.
Open Research DataThe process of automatic generalization is one of the elements of spatial data preparation for the purpose of creating digital cartographic studies. The presented data include a part of the process of generalization of building groups obtained from the Open Street Map databases (OSM) [1].
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The aggregation of objects representing buildings in the Kartuzy district - scale 1:10000. Data from OSM.
Open Research DataThe process of automatic generalization is one of the elements of spatial data preparation for the purpose of creating digital cartographic studies. The presented data include a part of the process of generalization of building groups obtained from the Open Street Map databases (OSM) [1].
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The generalization by simplification operator with Sester’s method of objects representing groups of buildings in Kartuzy district - scale 1:10000. Data from OSM
Open Research DataThe process of automatic generalization is one of the elements of spatial data preparation for the purpose of creating digital cartographic studies. The presented data include a part of the process of generalization of building groups obtained from the Open Street Map databases (OSM) [1].
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Spatial distribution of CO2, O2, CO, NO and temperature within a biowaste composting pile
Open Research DataThe dataset contains the color-coded isophlets illustrating the spatial distribution of gas concentrations (CO, CO2, O2 and NO) and the temperature in biowaste composting pile during 6 weeks of process. Four cross sections and two longitudinal cross sections (the left and right sides of the pile) were made using Surfer 10 software (Golden Software,...
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3D point cloud as a representation of buildings: the Nanotechnology Center and the Auditorium Novum
Open Research DataThe product presents the point cloud in the collection of a three-dimensional database in spatial order as the representations of the Nanotechnology Center and the Auditorium Novum buildings (located on the campus of the Gdańsk University of Technology) acquired in the laser scanning technology. According to its high accuracy and precision of data acquisition...
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The generalization by simplification operator with the Simplify Building tool of objects representing groups of buildings in Gdańsk district - scale 1:10000. Data from OSM
Open Research DataThe process of automatic generalization is one of the elements of spatial data preparation for the purpose of creating digital cartographic studies. The presented data include a part of the process of generalization of building groups obtained from the Open Street Map databases (OSM) [1].
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The generalization of objects representing groups of buildings in the Kartuzy district by simplification operator with the Simplify Building tool - scale 1:10000. Data from OSM.
Open Research DataThe process of automatic generalization is one of the elements of spatial data preparation for the purpose of creating digital cartographic studies. The presented data include a part of the process of generalization of building groups obtained from the Open Street Map databases (OSM) [1].
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Functional and spatial structure analysis – Lower Sopot (Dolny Sopot) district case study, study proposal no 1, February 2021
Open Research DataThe data presents results of work within the studies of the conditions of the district in the context of the city, Lower Sopot (Dolny Sopot) district, study proposal no 1, from February 2021. The goal of the research process was to present the functional and spatial structure analysis of the area located in Lower Sopot (Dolny Sopot) district in the...
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Functional and spatial structure analysis – Lower Sopot (Dolny Sopot) district case study, study proposal no 2, February 2021
Open Research DataThe data presents results of work within the studies of the conditions of the district in the context of the city, Lower Sopot (Dolny Sopot) district, study proposal no 2, from February 2021. The goal of the research process was to present the functional and spatial structure analysis of the area located in Lower Sopot (Dolny Sopot) district in the...
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Functional and spatial structure analysis – Lower Sopot (Dolny Sopot) district case study, study proposal no 4, February 2021
Open Research DataThe data presents results of work within the studies of the conditions of the district in the context of the city, Lower Sopot (Dolny Sopot) district, study proposal no 4, from February 2021. The goal of the research process was to present the functional and spatial structure analysis of the area located in Lower Sopot (Dolny Sopot) district in the...
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Functional and spatial structure analysis – Lower Sopot (Dolny Sopot) district case study, study proposal no 3, February 2021
Open Research DataThe data presents results of work within the studies of the conditions of the district in the context of the city, Lower Sopot (Dolny Sopot) district, study proposal no 3, from February 2021. The goal of the research process was to present the functional and spatial structure analysis of the area located in Lower Sopot (Dolny Sopot) district in the...
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Functional and spatial structure analysis – Lower Sopot (Dolny Sopot) district case study, study proposal no 5, February 2021
Open Research DataThe data presents results of work within the studies of the conditions of the district in the context of the city, Lower Sopot (Dolny Sopot) district, study proposal no 5, from February 2021. The goal of the research process was to present the functional and spatial structure analysis of the area located in Lower Sopot (Dolny Sopot) district in the...
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Functional and spatial structure analysis – Lower Sopot (Dolny Sopot) district case study, study proposal no 6, February 2021
Open Research DataThe data presents results of work within the studies of the conditions of the district in the context of the city, Lower Sopot (Dolny Sopot) district, study proposal no 6, from February 2021. The goal of the research process was to present the functional and spatial structure analysis of the area located in Lower Sopot (Dolny Sopot) district in the...
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Functional and spatial structure analysis – Gdańsk-Lower City (Dolne Miasto) district case study, study proposal no 2, February 2021
Open Research DataThe data presents results of work within the studies of the conditions of the district in the context of the city, Gdańsk-Lower City (Dolne Miasto) district, study proposal no 2, from February 2021. The goal of the research process was to present the functional and spatial structure analysis of the area located in Gdańsk-Lower City (Dolne Miasto) district...
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Functional and spatial structure analysis – Gdańsk-Lower City (Dolne Miasto) district case study, study proposal no 3, February 2021
Open Research DataThe data presents results of work within the studies of the conditions of the district in the context of the city, Gdańsk-Lower City (Dolne Miasto) district, study proposal no 3, from February 2021. The goal of the research process was to present the functional and spatial structure analysis of the area located in Gdańsk-Lower City (Dolne Miasto) district...
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Functional and spatial structure analysis – Gdańsk-Lower City (Dolne Miasto) district case study, study proposal no1, February 2021
Open Research DataThe data presents results of work within the studies of the conditions of the district in the context of the city, Gdańsk-Lower City (Dolne Miasto) district, study proposal no 1, from February 2021. The goal of the research process was to present the functional and spatial structure analysis of the area located in Gdańsk-Lower City (Dolne Miasto) district...
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Database of the illustrative simulations of the nonstandard approximation of the generalized Burgers–Huxley equation
Open Research DataThe presented dataset is a result of numerical analysis of a generalized Burgers–Huxley partial differential equation. An analyzed diffusive partial differential equation consist with nonlinear advection and reaction. The reaction term is a generalized form of the reaction law of the Hodgkin–Huxley model, while the advection is a generalized form of...
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LIDAR data from a survey conducted in the vicinity of the town of Lake Lednica
Open Research DataThe measurement data was obtained during research aimed at utilizing LiDAR observations to assess changes occurring in the shoreline of Lake Lednica. The collected information comes from a spatial survey conducted using a scanner mounted on an unmanned aerial vehicle (ALS, in the IR channel). This advanced measurement system allows for precise registration...
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The generalization by simplification operator with Chrobak’s method of objects representing groups of buildings in Gdańsk district - scale 1:10000. Data from OSM
Open Research DataThe process of automatic generalization is one of the elements of spatial data preparation for the purpose of creating digital cartographic studies. The presented data include a part of the process of generalization of building groups obtained from the Open Street Map databases (OSM) [1].
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The generalization by simplification operator with Chrobak’s method of objects representing groups of buildings in Kartuzy district - scale 1:10000. Data from OSM.
Open Research DataThe process of automatic generalization is one of the elements of spatial data preparation for the purpose of creating digital cartographic studies. The presented data include a part of the process of generalization of building groups obtained from the Open Street Map databases (OSM) [1].
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The generalization by simplification operator with Sester’s method of objects representing groups of buildings in Kartuzy district - scale 1:10000
Open Research DataThe process of automatic generalization is one of the elements of spatial data preparation for the purpose of creating digital cartographic studies. The presented data include a part of the process of generalization of building groups obtained from the national geodesy and cartography resource from BDOT10k (10k topographic database) [1].
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The generalization by simplification operator with Sester’s method of objects representing groups of buildings in Gdańsk district - scale 1:10000
Open Research DataThe process of automatic generalization is one of the elements of spatial data preparation for the purpose of creating digital cartographic studies. The presented data include a part of the process of generalization of building groups obtained from the national geodesy and cartography resource from BDOT10k (10k topographic database) [1].
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The generalization by simplification operator with Sester’s method of objects representing groups of buildings in Kartuzy district - scale 1:25000
Open Research DataThe process of automatic generalization is one of the elements of spatial data preparation for the purpose of creating digital cartographic studies. The presented data include a part of the process of generalization of building groups obtained from the national geodesy and cartography resource from BDOT10k (10k topographic database) [1].
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The aggregation of objects representing Gdańsk district buildings - scale 1:10000
Open Research DataThe process of automatic generalization is one of the elements of spatial data preparation for the purpose of creating digital cartographic studies. The presented data include a part of the process of generalization of building groups obtained from the national geodesy and cartography resource from BDOT10k (10k topographic database) [1].
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The aggregation of objects representing buildings in the Kartuzy district - scale 1:10000
Open Research DataThe process of automatic generalization is one of the elements of spatial data preparation for the purpose of creating digital cartographic studies. The presented data include a part of the process of generalization of building groups obtained from the national geodesy and cartography resource from BDOT10k (10k topographic database) [1].
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The aggregation of objects representing Gdańsk district buildings - scale 1:25000
Open Research DataThe process of automatic generalization is one of the elements of spatial data preparation for the purpose of creating digital cartographic studies. The presented data include a part of the process of generalization of building groups obtained from the national geodesy and cartography resource from BDOT10k (10k topographic database) [1].
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The aggregation of objects representing buildings in the Kartuzy district - scale 1:25000
Open Research DataThe process of automatic generalization is one of the elements of spatial data preparation for the purpose of creating digital cartographic studies. The presented data include a part of the process of generalization of building groups obtained from the national geodesy and cartography resource from BDOT10k (10k topographic database) [1].
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LIDAR data from a topographic survey conducted in the area where the Gdańsk Głowa Fortress was located
Open Research DataThe measurement data was obtained during research aimed at utilizing LiDAR observations to detect remnants of the historical complex of the Gdańsk Głowa Fortress. The collected information comes from a spatial survey conducted using a scanner mounted on an unmanned aerial vehicle. This advanced measurement system allows for precise registration of the...
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The aggregation of objects representing Katowice district buildings - scale 1:25000
Open Research DataThe process of automatic generalization is one of the elements of spatial data preparation for the purpose of creating digital cartographic studies. The presented data include a part of the process of generalization of building groups obtained from the national geodesy and cartography resource from BDOT10k (10k topographic database) [1].
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The aggregation of objects representing Katowice district buildings - scale 1:10000
Open Research DataThe process of automatic generalization is one of the elements of spatial data preparation for the purpose of creating digital cartographic studies. The presented data include a part of the process of generalization of building groups obtained from the national geodesy and cartography resource from BDOT10k (10k topographic database) [1].
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The generalization of objects representing groups of buildings in the Kartuzy district by simplification operator with the Simplify Building tool - scale 1:10000
Open Research DataThe process of automatic generalization is one of the elements of spatial data preparation for the purpose of creating digital cartographic studies. The presented data include a part of the process of generalization of building groups obtained from the national geodesy and cartography resource from BDOT10k (10k topographic database) [1].
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The generalization by simplification operator with the Simplify Building tool of objects representing groups of buildings in Gdańsk district - scale 1:10000
Open Research DataThe process of automatic generalization is one of the elements of spatial data preparation for the purpose of creating digital cartographic studies. The presented data include a part of the process of generalization of building groups obtained from the national geodesy and cartography resource from BDOT10k (10k topographic database) [1].
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The generalization by simplification operator with the Simplify Building tool of objects representing groups of buildings in Katowice district - scale 1:10000
Open Research DataThe process of automatic generalization is one of the elements of spatial data preparation for the purpose of creating digital cartographic studies. The presented data include a part of the process of generalization of building groups obtained from the national geodesy and cartography resource from BDOT10k (10k topographic database) [1].
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The generalization by simplification operator with the Simplify Building tool of objects representing groups of buildings in Katowice district - scale 1:25000
Open Research DataThe process of automatic generalization is one of the elements of spatial data preparation for the purpose of creating digital cartographic studies. The presented data include a part of the process of generalization of building groups obtained from the national geodesy and cartography resource from BDOT10k (10k topographic database) [1].
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The generalization by simplification operator with the Simplify Building tool of objects representing groups of buildings in Gdańsk district - scale 1:25000
Open Research DataThe process of automatic generalization is one of the elements of spatial data preparation for the purpose of creating digital cartographic studies. The presented data include a part of the process of generalization of building groups obtained from the national geodesy and cartography resource from BDOT10k (10k topographic database) [1].